Automated Visual Acuity Evaluation Based on Preferential Looking Technique and Controlled with Remote Eye Tracking

Nika Vrabič1, Bor Juroš2, Manca Tekavčič Pompe3,4

  • 1Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.

Ophthalmic Research
|October 20, 2020
PubMed

Insights

An automated visual acuity test (AVAT) using preferential looking and eye tracking was validated in healthy children. AVAT results showed good agreement with standard tests, offering a comparable method for assessing visual acuity.

Area of Science:

  • Ophthalmology
  • Pediatric Medicine
  • Biomedical Engineering

Background:

  • Assessing visual acuity (VA) in infants and young children presents significant challenges.
  • Standard tests (ST) for pediatric VA often require specialized training and can be time-consuming.
  • Developing objective and automated methods for VA assessment is crucial for early detection of visual impairments.

Purpose of the Study:

  • To develop and validate an Automated Visual Acuity Test (AVAT) for infants using preferential looking and remote eye tracking.
  • To compare the VA measurements obtained from AVAT with those from traditional standard tests (ST) in healthy children.
  • To assess the feasibility and reliability of AVAT in a pediatric population.

Main Methods:

  • A group of 36 healthy children underwent both standard visual acuity testing (Keeler Acuity Cards or LEA symbols) and the novel AVAT.
  • AVAT presented stimuli with varying spatial frequencies, and a remote eye tracker monitored children's visual attention to target stimuli.
  • Binocular VA was calculated based on the proportion of time spent looking at the target stimuli compared to a control background.

Main Results:

  • The AVAT successfully completed by 97% (35/36) of the children, demonstrating high feasibility.
  • A moderate agreement (Lin's concordance coefficient = 0.53) was found between AVAT and standard test VA values.
  • A slight tendency for AVAT to overestimate VA in children with better vision and underestimate in those with poorer vision was noted.

Conclusions:

  • The Automated Visual Acuity Test (AVAT) is a viable and comparable alternative to standard tests for assessing visual acuity in healthy children.
  • AVAT requires minimal investigator skill, making it potentially more accessible for routine pediatric eye examinations.
  • Further research may refine AVAT for improved accuracy across the full spectrum of visual acuity.
Abstract

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